I checked the method of importing this package on the Internet, and I also entered the pip command in cmd, but it still cannot be imported. May I ask why?
Probably because the kernel of your jupyterhub has not the right environment.
Try to reinstall the package using the terminal of jupyter hub (see new drop box) it will do the trick once you have installed the package and refreshed the kernel.
Try this on your Jupyter cell:
pip install git+https://github.com/ematvey/pybacktest.git
Link to github https://github.com/ematvey/pybacktest
Edit for your comment:
run the below command on your Jupyter cell.
pip install pandas_datareader
Related
I tried installing Rasterio library using command- pip install rasterio and also used conda commands in anaconda cmd, both are didn't worked and it's taking too long to install so I aborted the process. Let me know in detail how to install raserio library for python?
I tried with installing GDAL and raterio whl file by using pip commands. It got installed, but when I tried to import module- it's giving me an error saying No module found. Please help to fix this.
Thanks in advance
I just had the similar problem, and tl:dr the issue for me was multiple environments, like Ameya said. Here's a longer version of Ameya's spot-on answer with steps to diagnose and fix.
Without realizing it, I had two environments going on: my jupyter notebook was running python 3.10 and my global python was running 3.9, and each was looking for site-packages in different locations (/opt/homebrew/Cellar/jupyterlab/3.4.7/libexec/lib/python3.10/site-packages vs /Users//Library/Python/3.9/lib/site-packages).
This happened because I had trouble with getting python and specifically jupyterlab running on Monterey and the only fix for me was using homebrew to manage the packages. Anything I installed with brew from the command line, went into /opt/homebrew/Cellar... etc and could be seen by my jupyter notebook. Anything I used pip install to get from within an open notebook also went onto this path that my notebook could see. But anything I used pip install from the command line to get, went to the path of the global environment's site packages. Then, my jupyter notebook couldn't see them.
You don't mention that you are using jupyter notebook but perhaps something analogous could happen between multiple environments for you.
You can check if this is the case for you by doing the following:
start python from the command line
import sys
run sys.path
start jupyter notebook, or start python from your other environment
same thing, import sys, run sys.path
Are they the same? If not, probably pip is putting your rasterio in other python env site-packages.
To fix, you can either pip install from within your preferred environment, or copy and paste the site packages corresponding to rasterio from one site-packages location to the other.
I am using an iPython note in Jupyter Notebooks and need to use the import lmfit. How can I import it such that it will become available in my jupyter notebook?
I should clarify this question applies to multiple modules (really anything you could install using pip or conda). I am trying to determine how to install modules in a Jupyter Notebook.
Run ! pip install <package> within the jupyter notebook.
The ! tells the notebook to run the command in bash, just make sure the pip you are using is the same interpreter the notebook is using
Please check the installation guide for lmfit here.
There is some problem with this package. Even after installation, import to lmfit is not possible. My advise is to ask for support here or check the git repository and raise an issue.
I am having an issue with SciPy not importing properly in my DM script. The script will get stuck on the "import scipy" line. I installed scipy using miniconda, have tried reinstalling with no success.
Thank you
You can try to import scipy in another compiler such as Spyder or Jupyter notebook, if it can be imported properly, then check the checkbox of "Execute on Background Thread" in GMS is not to be selected (see the figure below). I can import the scipy and sklearn by doing this.
For your reference.
(Windows) I have found that on my system using pip as recommended (via pip install x) does not work for any package, however using conda as not recommended (via conda install) in the command prompt allowed me to install scipy for GMS.
Also make sure you start the command prompt in administrator mode.
DM uses C:\ProgramData\Miniconda3\envs\GMS_VENV_PYTHON for Phyton environment, so you should install scipy there, I don't know how select that location to install, so I
install Miniconda3 in a folder "user\Miniconda3"
Run AnacondaPromt(miniconda3) and install scipy by run "conda install scipy"
copy content of "user\Miniconda3" folder to "C:\ProgramData\Miniconda3\envs\GMS_VENV_PYTHON"
I hope this question is not redundant, but I couldn’t find a solution on the internet so far. I’ve followed the github guide (https://github.com/fastai/fastai) to install the fastai library on my Anaconda environment. I want to use this library to tackle the ML course and solve other Kaggle competitions with it.
As per below, I’m opening my conda environment, selecting fastai and opening Jupyter Notebook:
When trying to run the packages in Jupyter, I still get an Import Error with No module named ‘fastai’. Any suggestions on what I’m doing wrong?
Had same issue. It looks like the problem is with "softlinks" fastai which are not working on Windows.
I fixed it with replacing that soflinks with real module fastai from root of repository. Just copied it to courses\dl1, courses\dl2, courses\dm1 and tutorials folders.
Prerry dirty. But works. Let me know how to fix it without copying.
Add a cell to the beginning of the notebook, !python -m pip install git+https://github.com/fastai/fastai.git
Edit:
Now that fastai is 1.0 and on pip, you probably just want to !python -m pip install fastai.
I prefer the !python -m pip syntax over just calling pip when mixing anaconda and pip, but it probably just reflects my system's python being messed up.
I had trouble making fastai_v1 work in jupyter lab, however it was working on the terminal. So the problem was with the virtual environment not being selected in the jupyter lab when it was launched.
I used the below code to make it work. Replace 'myenv' with your virtual environment name.
source activate myevn
python -m ipykernel install --user --name myenv --display-name "Python (myenv)"
jupyter lab
more info here: Conda environments not showing up in Jupyter Notebook
I have installed Tensorflow and Keras by Anaconda (on Windows 10), I have created an environment where I am using Python 3.5.2 (the original one in Anaconda was Python 3.6).
When I try to execute import keras as ks, I get ModuleNotFoundError: No module named 'keras'.
I have tried to solve this issue by sys.path.append(C:\\Users\\ ... \\Anaconda3\\python.exe)
with both notebook and console, but I continue to get the same error.
How could I solve this issue?
Please try the following:
Run these in the jupyter notebook cell:
import sys
sys.path
sys.executable
It may not be pointing to your virtual environment but to the root
The fix is to install the jupyter notebook from inside your virtual environment
$ . your_env/bin/activate
(your_env)$ python -m pip install jupyter
Now you can import tensorflow or keras
Jupyter uses iPython under the hood, for python. So when you install Jupyter, it will also install iPython. There was one issue when I installed keras and Jupyter: I already have iPython installed in my root Anaconda environment. This is the output after I install Jupyter and keras:
In [2]: import sys; sys.path
Out[2]:
['/home/user/anaconda3/bin',
'/home/user/anaconda3/lib/python36.zip',
'/home/user/anaconda3/lib/python3.6',
'/home/user/.ipython']
Notice that even though I am inside my conda environment, it still looks for libraries in my root conda environment. And of course keras isn't there.
The step to fix is simply re-activate my environment, with:
source deactivate && source activate [my_env]
Then I am using a correct ipython:
Out[2]:
['/home/user/anaconda3/envs/ml3/bin',
'/home/user/anaconda3/envs/ml3/lib/python36.zip',
'/home/user/anaconda3/envs/ml3/lib/python3.6',
'/home/user/.ipython']
(Not an answer but some troubleshooting hints)
sys.path is not the path to your Python executable, but the path to the libraries.
Check where Keras is installed and check your sys.path. How exactly did you install Keras?
Try to execute the same command from the Python interpreter. Do you have the same issue?
How did you install Jupiter, is the sys.path visible from there the same as sys.path visible from your Python interpreter?
Do Jupiter and Keras use the same version of Python?
You might try to uninstall Jupiter and install it again, and hope that the new installation picks up the packages which are already installed. What could happen is that you have more than one Python installation and different libraries being installed to the different places. sys.path, when requested from different environments, might give you a hint if that's true.
The kernel in console and jupyter are not necessarily the same, and the problem might be that you are not on python 3.5.
python --version
should tell you what is running in the console, and in jupyter you should see it as a choice on starting a new notebook. For me, the information in
Using both Python 2.x and Python 3.x in IPython Notebook
was very helpful.
I have realized that I had two different Jupyter's directories, so I have manually deleted one on them. Finally, I have reinstalled Anaconda. Now Keras works properly.
If you are a windows/mac user who are working on Jupyter notebook “pip install keras” doesn't help you .Try the below steps.It was solved for me
1. In command prompt navigate to the “site packages” directory of your anaconda installed.
2. Now use “conda install tensorflow” and after “conda install keras”
3. Re-start your Jupyter notebook and run the packages.
Acually, I did this command pip install keras and sudo -H pip3 install keras and pip3 install keras. None of them worked. I added the following command and everything worked like a charm:
pip install Keras. Yes a capital 'K'
Here's how I solved this problem.
First, the diagnosis. When I run which python in a terminal window on my Mac (the same terminal I used to launch jupyter, I get /Users/myusername/.conda/envs/myenvname/bin/python, but when I run the same command from a terminal within Jupyter, I get /usr/bin/python. So Jupyter isn't using the correct python executable; the version it's using doesn't have any of my packages installed.
But which jupyter returns /usr/bin/jupyter; it's using a version of jupyter that isn't coming from within my conda environment. I ran conda install jupyter and now which jupyter returns /Users/myusername/.conda/envs/myenvname/bin/jupyter (for some reason I had to restart the terminal window for this to take effect.) Then if I relaunch jupyter notebook, the notebook is using the correct version of Python and I have access to all my installed conda packages. 👍
I had a similar problem.
I added the Conda environment as a new kernel.
First, install ipykernel:
conda install ipykernel
Next, create the kernet:
python -m ipykernel install --user --name tf-gpu --display-name "TensorFlow-GPU"
Now, when you run your notebook, change the kernel to the new one, to "TensorFlow-GPU" in this example.